Downloads · 30 days
8
0% of all-time downloads
distilBERT-infoExtract
tony4194/distilBERT-infoExtract
distilBERT-infoExtract is a token classification model from tony4194. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
2.6K
Public
Repo size
1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin261 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 31, 2023
- Updated
- Nov 29, 2023
- SHA
- 50eb1887
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilBERT-infoExtract
This model is a fine-tuned version of distilbert-base-cased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0718
- Precision: 0.9134
- Recall: 0.9369
- F1: 0.9250
- Accuracy: 0.9832
Model description
The model can identify human name, organization and location so far (no time recognition). It was trained for 5 minutes with T4 GPU on Colab.
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0954 | 1.0 | 1756 | 0.0846 | 0.8880 | 0.9194 | 0.9034 | 0.9769 |
| 0.0498 | 2.0 | 3512 | 0.0699 | 0.9057 | 0.9310 | 0.9182 | 0.9815 |
| 0.031 | 3.0 | 5268 | 0.0718 | 0.9134 | 0.9369 | 0.9250 | 0.9832 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Oct 31, 2023
- Updated
- Nov 29, 2023